Confluence Retirement

In an effort to consolidate USGS hosted Wikis, myUSGS’ Confluence service is scheduled for retirement on January 27th, 2023. The official USGS Wiki and collaboration space is now SharePoint. Please migrate existing spaces and content to the SharePoint platform and remove it from Confluence at your earliest convenience. If you need any additional information or have any concerns about this change, please contact myusgs@usgs.gov. Thank you for your prompt attention to this matter.
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Open Innovation Projects & Instruments
Related to Climate Change Risk

  • Indigenous Observation Network (ION)

  • Local Environmental Observer Network (LEO)

  • iSeeChange

  • IceWatch USA

  • EyeOnWater

  • Globe Observer Land Cover

  • Climate Resilience Data Challenge


For the climate change case study, Indigenous Observation Network (ION) (Herman-Mercer et al. 2016, 2018, 2019; Toohey et al. 2016; Wilson et al. 2018), Local Environmental Observer Network (Brubaker et al. 2013, Mosites et al. 2018), ISeeChange (Drapkin et al. 2016, Drapkin 2018), IceWatch USA, EyeOnWater, Globe Observer Land Cover (Hayden et al. 2019, Janney 2019), and Climate Resilience Data Challenge projects will be surveyed to understand how community-based monitoring, engagement with indigenous communities, Traditional Ecological Knowledge, data collected online versus on-the-ground, and ground truthing remote sensing data can inform research on climate impacts. This case study will focus on the ION project by conducting online and in-person interviews at the Alaska Climate Adaptation Science Center (AKCASC) and Yukon River Inter-Tribal Watershed Council (YRITWC) in Anchorage, AK. Participant observations will also be conducted by observing and video recording how USGS scientists engage with indigenous communities during their fieldwork in the summer. This study will also inform Watson’s proposed OI risk projects related to climate change with the Pacific Islands Climate Adaptation Science Center (PICASC) and Northern Rocky Mountain Science Center (NOROCK).

For floods, CrowdHydrology (Fienen and Lowry 2012, Lowry and Fienen 2013, Lowry et al. 2019), CrowdWater (Seibert et al. 2019, Strobl et al. 2019), What’s Your Water Level?, iFlood - Flood Reports, and Lowering the Cost of Continuous Streamflow Monitoring projects will be surveyed to understand how OI can be used to understand floods for hydrological risk reduction (Paul et al. 2018), measure water levels and high water marks, monitor hydrologic changes, detect flooding, improve flood and hydraulic models, as well as identify and deploy low-cost sensors. This case study will inform proposed OI risk projects like Ryberg’s “Historical Floods - Stakeholder Engagement and Data Acquisition” crowdsourcing project, which engages local communities to find and share old records with historic flood information to improve flood forecasting and increase public awareness of flood risk.

For wildfiresSmoke Sense...


USGS Open Innovation Climate Change Projects



Indigenous Observation Network (ION)

  • Project Leads:
    • Ryan C Toohey (Alaska Climate Science Center)
    • Nicole M Herman-Mercer (USGS Branch of Regional Research, Central Region)
    • Paul F Schuster (USGS Branch of Regional Research, Central Region)
    • Edda Mutter (Yukon River Inter-Tribal Watershed Council)
  • Description:
    • The hydrology of the Yukon River Basin has changed over the last several decades as evidenced by a variety of discharge, gravimetric, and geochemical analyses.  The Indigenous Observation Network (ION), a community-based project, was initiated by the Yukon River Inter-Tribal Watershed Council and USGS.  Capitalizing on existing USGS monitoring and research infrastructure and supplementing USGS collected data, ION investigates changes in surface water geochemistry and active layer dynamics throughout the Yukon River Basin.  Over 1600 samples of surface water geochemistry (i.e., major ions, dissolved organic carbon, and 18O and 2H) have been collected at 35 sites throughout the Yukon River and its major tributaries over the past 15 years.  Active layer dynamics (maximum thaw depth, soil temperature and moisture) have been collected at 20 sites throughout the Yukon River Basin for the past eight years.  Important regional differences in geochemistry and active layer parameters linked to permafrost continuity and tributaries will be highlighted.  Additionally, annual trends and seasonal dynamics describing the spatial and temporal heterogeneity of the watershed will be presented in the context of observed hydrological changes.  These data assist the global effort to characterize arctic river fluxes and their relationship to the carbon cycle, weathering and permafrost degradation.    

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Local Environmental Observer Network (LEO)


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NASA GLOBE Observer Land Cover

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Other Open Innovation Climate Change Projects



iSeeChange


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IceWatch USA


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EyeOnWater

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Climate Resilience Data Challenge

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